Position Description

Bridgenext is seeking a Senior Full-Stack Data & AI Engineer to own the complete data lifecycle—from ingestion and engineering through data modeling, analytics, AI enablement, and front-end consumption—within a cloud-native Azure ecosystem.

The role requires strong hands-on expertise in Python-based data engineering, analytics, and AI integration using FastAPI, along with the ability to build or support dashboards and data-driven front-end applications that deliver business-ready outputs.

 

The Senior Engineer will be responsible for owning the full data product lifecycle—requirements, build, deploy, run, and optimize—delivering reusable, governed, high-quality data assets and integrating RESTful APIs with enterprise platforms. Solutions are expected to run on Azure Kubernetes Service (AKS) with built-in authentication, authorization, and scalability.

 

This role focuses on delivering robust, production-ready data products with a data product mindset—reusable, governed, and aligned to business outcomes—within an existing Azure-centric framework. It is positioned as a full-stack Data & AI Engineering role, not a traditional full-stack development position.

 

Responsibilities include but are not limited to:

• Design, develop, and own end-to-end data solutions spanning data ingestion, engineering, modeling, analytics, AI, and front-end consumption
• Build and maintain RESTful APIs using FastAPI with authentication, rate limiting, pagination, and error handling
• Develop scalable data pipelines and backend services using Python for data ingestion, transformation, and orchestration
• Build or support dashboards and data-driven applications (e.g., Power BI, React UI) to enable front-end consumption of data products and KPIs
• Design and implement conceptual, logical, and physical data models; build and maintain semantic layers to ensure consistent, governed data access
• Deploy and operate containerized data and AI applications on Azure Kubernetes Service (AKS)
• Enable ML/LLM use cases including chat, summarization, RAG, agents, and evaluators; prepare and manage data for model training and inference
• Integrate data pipelines and applications with Azure OpenAI and other AI services to power intelligent, data-driven features
• Deliver analysis-ready datasets, KPIs, and business-ready outputs aligned to stakeholder requirements; collaborate with cross-functional teams and participate in code reviews
• Own the full lifecycle of data products: requirements gathering, build, deployment, operational monitoring, and continuous optimization

 

Workplace: Hybrid in the Greater Toronto Area

 

 

Must Have Skills:

• 8+ years of professional experience in data engineering, analytics engineering, or full-stack data platform development
• Experience building or supporting dashboards and data-driven applications using tools such as Power BI, React, or similar frameworks
• Strong experience building RESTful APIs using FastAPI
• Expertise in SQL databases (PostgreSQL, MySQL, SQL Server) with strong data modeling skills (conceptual, logical, physical models and semantic layers)
• Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis for diverse data storage needs
• Hands-on experience deploying containerized data and AI applications on AKS
• Experience enabling ML/LLM use cases including data preparation for training/inference, RAG, chat, and summarization
• Experience integrating data pipelines with Azure OpenAI and other AI services
• Strong proficiency in Python programming with a data product mindset—building reusable, governed, high-quality data assets aligned to business outcomes

 

Preferred Skills:

• Good understanding of Agentic AI frameworks such as LangChain or AutoGen
• Exposure to Agent-to-Agent (A2A) communication and agent scaling
• Azure data platform experience including Data Factory, Synapse, Purview, Entra ID fundamentals, and app registrations
• Knowledge of OAuth2, OIDC, SSO, and SAML configurations; familiarity with data governance and cataloging tools

 

Professional Skills:

• Solid written, verbal, and presentation communication skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues 

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $130,000 - $150,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

 

 

 

 

 

 

#LI-FR1